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Dynamic Monte Carlo method
About: Dynamic Monte Carlo method is a research topic. Over the lifetime, 13294 publications have been published within this topic receiving 371256 citations.
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TL;DR: In this paper, the authors have simulated the acceleration of a uniform electric field in the presence of elastic, excitation, ionisation and attachment collisions with the gas and analyzed the motion to give swarm parameters for drift velocity (v), mean energy, radial (Dr) and longitudinal (DL) diffusion coefficient, ionization and attachment coefficients.
Abstract: Electron warm motion across a uniform electric field in the presence of elastic, excitation, ionisation and attachment collisions with the gas has been simulated. The motion has been analyzed to give swarm parameters for drift velocity (v), mean energy, radial (Dr) and longitudinal (DL) diffusion coefficient, ionisation and attachment coefficients. The results have been compared with solutions of Boltzmann's equations. In the presence of ionisation and for a fixed mean energy, the Monte Carlo results for v and DL increased as the proportion of energy going into ionisation increased. In the presence of attachment decreasing values of both v and DL are observed.
73 citations
TL;DR: In this paper, the authors calculated the temperature profiles and heat flux distributions in an end-fired right cylindrical furnace with circumferential sink surfaces using the Monte Carlo Method for various flow patterns.
73 citations
TL;DR: In this article, the basic components of Monte Carlo simulation of bremsstrahlung emission by electrons are presented and various theoretical cross-sections that have been used in Monte Carlo codes are described.
73 citations
TL;DR: In this article, the authors present a kinetic adsorption model for proteins that accounts for the experimentally observed properties of partial reversibility and surface induced conformational change, and derive analytical results in the asymptotic regime and report Monte Carlo results for shorter times.
Abstract: We present a kinetic adsorption model for proteins that accounts for the experimentally observed properties of partial reversibility and surface induced conformational change. Particles (proteins) are modeled as disks that adsorb sequentially and without overlap at random positions onto a surface. Following adsorption, a particle can either desorb or spread symmetrically to a larger size. If the latter occurs, it remains adsorbed irreversibly. Both of these events obey first order kinetic rate laws. We derive analytical results in the asymptotic regime and report Monte Carlo results for shorter times. This model yields adsorbed phases that are more dense than those predicted by models of purely irreversible adsorption. We attribute this densification to a fluid structure that is quite liquidlike. We show that a number of experimentally observed kinetic behaviors can be reproduced with this model and that it is in good quantitative agreement with recent experiments.
73 citations